To advance AI learning, GenGenAI creates synthetic data by generating and transforming image and media data.
We aim to develop an original technology that generates the synthetic data for AI learning.
The synthetic data for assisting AI learning is classified into three types.
The first type of synthetic data generates a real dataset,
The second type generates virtual data without real data.
The third type is a hybrid of the two types above.
Synthetic data plays significant roles in addressing privacy concerns and reducing bias by providing data diversity of representing real world.
Especially, the synthetic data we developed generates unlimited images of unpredictable situations in the sectors of medical, robots, drones, and autonomous vehicles and it provides all the necessary datasets in the AI development process.
“GenGenAI” contributes to AI Evolution.